Confirmatory Factor Analysis and Internal Consistency of the Suicidal Ideation Scale of the Center for Epidemiological Studies Depression Among Colombian Adolescents

The current study tested the one-dimensionality of the Center for Epidemiological Studies Depression Scale for Suicidal Ideation (CES-D-SI) and its reliability among high school students in Santa Marta, Colombia. A total of 1,462 tenth and eleventh-grade students from public and private schools completed the CES-D-SI. The students were between 13 and 17 years ( M = 16.0, SD = 0.8), 60.3% were female, and 55.3% were in the tenth grade. A confirmatory factor analysis (CFA) was conducted, and the chi-square, root mean square error of approximation (RMSEA), comparative fit index (CFI), Tucker-Lewis index (TLI), and standardized root mean square residual (SRMR) statistics were calculated. The internal consistency of the dimension was calculated using Cronbach’s alpha and McDonald’s omega coefficients. The results of the CFA were as follows: chi-square = 26.51, df =2, p = .001; RMSEA = .092; 90% confidence interval = .063–.124; CFI = .983; TLI = .950; and SRMR = .019. Cronbach’s alpha coefficient was .75, and McDonald’s omega coefficient was .77. As conclusions, the scale exhibited a unidimensional structure similar to that in other studies and presented good reliability values. Hence, its use is recommended to screen suicidal ideation in school-aged adolescents in Santa Marta, Colombia.

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The Psychometric Properties of the Difficult Behavior Self-Efficacy Scale

Adapted Physical Activity Quarterly ◽

10.1123/apaq.27.3.191 ◽

2010 ◽

Vol 27 (3) ◽

pp. 191-207 ◽

Cited By ~ 1

Author(s):

Hyun-Kyoung Oh ◽

Francis M. Kozub

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Psychometric Properties ◽

Root Mean Square ◽

Internal Consistency ◽

Self Efficacy ◽

Mean Square ◽

Two Samples ◽

Confirmatory Factor ◽

Fit Index

The study was designed to estimate the psychometric properties of Hastings and Brown’s (2002a) Difficult Behavior Self-efficacy Scale. Participants were two samples of physical educators teaching in Korea (n = 229) and the United States (U.S.; n = 139). An initial translation of the questionnaire to Korean and pilot study were conducted along with the larger study using a confirmatory factor analysis procedure. Internal consistency estimates (weighed Omega) for the five-item scale were 0.88 both the Korean and U.S. samples. The average variances extracted for the one factor were 0.59 for the total data set and 0.57 each for the Korean and U.S. samples. Confirmatory factor analysis supported a five-item, unidimensional model for self-efficacy for the total sample: Goodness of Fit Index (GFI) = 0.97, Nonnormed Fit Index (NNFI) = 0.95, Comparative Fit Index (CFI) = 0.98, and Standardized Root Mean Square Residual (SRMR) = 0.03. Only the Root Mean Square Error of Approximation (RMSEA = 0.12) fell below criterion levels of acceptable fit, with similar fit indices occurring in separate analyses of the Korean and U.S. samples. Invariance testing across the two samples supported metric invariance (similarity of factor loadings) but not scalar invariance (U.S. means higher on all five items). The factor structure for the self-efficacy scale provides an initial estimate of validity and internal consistency for use with different teacher groups.

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Psychometric evaluation of the Major Depression Inventory among young people living in Coastal Kenya

Wellcome Open Research ◽

10.12688/wellcomeopenres.12620.1 ◽

2017 ◽

Vol 2 ◽

pp. 113 ◽

Cited By ~ 7

Author(s):

Mark Otiende ◽

Amina Abubakar ◽

George Mochamah ◽

David Walumbe ◽

Christopher Nyundo ◽

...

Keyword(s):

Factor Analysis ◽

Major Depression ◽

Confirmatory Factor Analysis ◽

Psychometric Properties ◽

Internal Consistency ◽

Epidemiological Studies ◽

Cronbach’S Alpha ◽

Cronbach's Alpha ◽

Major Depression Inventory ◽

Confirmatory Factor

Background: The lack of reliable, valid and adequately standardized measures of mental illnesses in sub-Saharan Africa is a key challenge for epidemiological studies on mental health. We evaluated the psychometric properties and feasibility of using a computerized version of the Major Depression Inventory (MDI) in an epidemiological study in rural Kenya. Methods: We surveyed 1496 participants aged 13-24 years in Kilifi County, on the Kenyan coast. The MDI was administered using a computer-assisted system, available in three languages. Internal consistency was evaluated using both Cronbach’s alpha and the Omega Coefficient. Confirmatory factor analysis was performed to evaluate the factorial structure of the MDI. Results: Internal consistency using both Cronbach’s Alpha (α= 0.83) and the Omega Coefficient (0.82; 95% confidence interval 0.81- 0.83) was above acceptable thresholds. Confirmatory factor analysis indicated a good fit of the data to a unidimensional model of MDI (χ2 (33, N = 1409) = 178.52 p < 0.001, TLI = 0.947, CFI = 0.961, and Root Mean Square Error of Approximation, RMSEA = .056), and this was confirmed using Item Response Models (Loevinger’s H coefficient 0.38) that proved the MDI was a unidimensional scale. Equivalence evaluation indicated invariance across sex and age groups. In our population, 3.6% of the youth presented with scores suggesting major depression using the ICD-10 scoring algorithm, and 8.7% presented with total scores indicating presence of depression (mild, moderate or severe). Females and older youth were at the highest risk of depression. Conclusions: The MDI has good psychometric properties. Given its brevity, relative ease of usage and ability to identify at-risk youth, it may be useful for epidemiological studies of depression in Africa. Studies to establish clinical thresholds for depression are recommended. The high prevalence of depressive symptoms suggests that depression may be an important public health problem in this population group.

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Validation of the Patient-Centred Care Competency Scale Instrument for Finnish Nurses

Journal of Personalized Medicine ◽

10.3390/jpm11060583 ◽

2021 ◽

Vol 11 (6) ◽

pp. 583

Author(s):

Riitta Suhonen ◽

Katja Lahtinen ◽

Minna Stolt ◽

Miko Pasanen ◽

Terhi Lemetti

Keyword(s):

Factor Analysis ◽

Root Mean Square ◽

Goodness Of Fit ◽

Item Analysis ◽

Healthcare Delivery ◽

Mean Square ◽

Cronbach’S Alpha ◽

Patient Centred Care ◽

Cronbach's Alpha ◽

Confirmatory Factor

Patient-centredness in care is a core healthcare value and an effective healthcare delivery design requiring specific nurse competences. The aim of this study was to assess (1) the reliability, validity, and sensitivity of the Finnish version of the Patient-centred Care Competency (PCC) scale and (2) Finnish nurses’ self-assessed level of patient-centred care competency. The PCC was translated to Finnish (PCC-Fin) before data collection and analyses: descriptive statistics; Cronbach’s alpha coefficients; item analysis; exploratory and confirmatory factor analyses; inter-scale correlational analysis; and sensitivity. Cronbach’s alpha coefficients were acceptable, high for the total scale, and satisfactory for the four sub-scales. Item analysis supported the internal homogeneity of the items-to-total and inter-items within the sub-scales. Explorative factor analysis suggested a three-factor solution, but the confirmatory factor analysis confirmed the four-factor structure (Tucker–Lewis index (TLI) 0.92, goodness-of-fit index (GFI) 0.99, root mean square error of approximation (RMSEA) 0.065, standardized root mean square residual (SRMR) 0.045) with 61.2% explained variance. Analysis of the secondary data detected no differences in nurses’ self-evaluations of contextual competence, so the inter-scale correlations were high. The PCC-Fin was found to be a reliable and valid instrument for the measurement of nurses’ patient-centred care competence. Rasch model analysis would provide some further information about the item level functioning within the instrument.

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Validation and psychometric evaluation of the Dutch person-centred care of older people with cognitive impairment in acute care (POPAC) scale

BMC Health Services Research ◽

10.1186/s12913-020-06048-x ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Annette Keuning-Plantinga ◽

Evelyn J. Finnema ◽

Wim Krijnen ◽

David Edvardsson ◽

Petrie F. Roodbol

Keyword(s):

Factor Analysis ◽

Cognitive Impairment ◽

Quality Of Care ◽

Confirmatory Factor Analysis ◽

Older People ◽

Root Mean Square ◽

Acute Care ◽

Mean Square ◽

Confirmatory Factor

Abstract Background Person-centred care is the preferred model for caring for people with dementia. Knowledge of the level of person-centred care is essential for improving the quality of care for patients with dementia. The person-centred care of older people with cognitive impairment in acute care (POPAC) scale is a tool to determine the level of person-centred care. This study aimed to translate and validate the Dutch POPAC scale and evaluate its psychometric properties to enable international comparison of data and outcomes. Methods After double-blinded forward and backward translations, a total of 159 nurses recruited from six hospitals (n=114) and via social media (n=45) completed the POPAC scale. By performing confirmatory factor analysis, construct validity was tested. Cronbach’s alpha scale was utilized to establish internal consistency. Results The confirmatory factor analysis showed that the comparative fit index (0.89) was slightly lower than 0.9. The root mean square error of approximation (0.075, p=0.012, CI 0.057–0.092) and the standardized root mean square residual (0.063) were acceptable, with values less than 0.08. The findings revealed a three-dimensional structure. The factor loadings (0.69–0.77) indicated the items to be strongly associated with their respective factors. The results also indicated that deleting Item 5 improved the Cronbach’s alpha of the instrument as well as of the subscale ‘using cognitive assessments and care interventions’. Instead of deleting this item, we suggest rephrasing it into a positively worded item. Conclusions Our findings suggest that the Dutch POPAC scale is sufficiently valid and reliable and can be utilized for assessing person-centred care in acute care hospitals. The study enables nurses to interpret and compare person-centred care levels in wards and hospital levels nationally and internationally. The results form an important basis for improving the quality of care and nurse-sensitive outcomes, such as preventing complications and hospital stay length.

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Validation of the French translation of the Dutch Residency Educational Climate Test

10.21203/rs.2.13212/v4 ◽

2020 ◽

Author(s):

Anass Mohammed Majbar ◽

Yassin Majbar ◽

Amine Benkabbou ◽

Laila Amrani ◽

Abdeslam Bougtab ◽

...

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Learning Environment ◽

Internal Consistency ◽

French Translation ◽

Mean Square ◽

French Version ◽

Confirmatory Factor ◽

Educational Climate ◽

Good Internal Consistency

Abstract BackgroundThe learning environment is one of the most influential factors in training of medical residents. The Dutch Residency Educational Climate Test (D-RECT) is one of the strongest instruments for measuring the learning environment. However, it has not been translated in French. The objective of this study is the psychometric validation of the DRECT French version.Material and methodsAfter translation of the D-RECT questionnaire into French, residents of five Moroccan hospitals were invited to complete the questionnaire between July and September 2018. Confirmatory factor analysis was used to evaluate the validity of the construct using the standardized root mean square residual (SRMR), the root mean square error approximation (RMSEA), the Comparative Fit Index (CFI) and the Tucker- Lewis Index (TLI). Reliability analysis was analysed using Internal consistency and Test-retest.ResultsDuring the study period, 211 residents completed the questionnaire. Confirmatory factor analysis showed an adequate model fit with the following indicators: SRMR = 0.058 / RMSEA = 0.07 / CFI = 0.88 / TLI = 0.87. The French translation had a good internal consistency (Cronbach alpha score > 0.7 for all subscales) and a good temporal stability (correlation score between two measurements = 0.89). Conclusion This French version has an acceptable validity of the construct, a good internal consistency and good temporal reliability, and may be used to evaluate the learning climate. Additional research is necessary in other French-speaking contexts, in order to confirm these results.

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Validation of the French translation of the Dutch Residency Educational Climate Test

10.21203/rs.2.13212/v2 ◽

2020 ◽

Author(s):

Anass Mohammed Majbar ◽

Yassin Majbar ◽

Amine Benkabbou ◽

Laila Amrani ◽

Abdeslam Bougtab ◽

...

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Internal Consistency ◽

Temporal Stability ◽

French Translation ◽

Mean Square ◽

French Version ◽

Confirmatory Factor ◽

Educational Climate ◽

Good Internal Consistency

Abstract Background The learning environment is one of the most influential factors in training of medical residents. The Dutch Residency Educational Climate Test (D-RECT) is one of the strongest instruments for measuring the learning environment. However, it has not been translated in French. The objective of this study is the psychometric validation of the DRECT French version.Material and methods After translation of the D-RECT questionnaire into French, residents of five Moroccan hospitals were invited to complete the questionnaire between July and September 2018. Confirmatory factor analysis was used to evaluate the validity of the construct using the standardized root mean square residual (SRMR), the root mean square error approximation (RMSEA), the Comparative Fit Index (CFI) and the Tucker- Lewis Index (TLI). Fidelity analysis was analysed using Internal consistency and temporal stability.Results During the study period, 211 residents completed the questionnaire. Confirmatory factor analysis showed an adequate model fit with the following indicators: SRMR = 0.058 / RMSEA = 0.07 / CFI = 0.88 / TLI = 0.87. The French translation had a good internal consistency (Cronbach alpha score > 0.7 for all subscales) and a good temporal stability (correlation score between two measurements = 0.89). Conclusion This French version has an acceptable validity of the construct, a good internal consistency and good temporal reliability, and may be used to evaluate the learning climate. Additional research is necessary in other french-speaking contexts, in order to confirm these results.

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VALIDITAS KONSTRAK INSTRUMEN ADAPTABILITAS KARIER BIDANG KELISTRIKAN

Jurnal Edukasi Elektro ◽

10.21831/jee.v2i1.19944 ◽

2018 ◽

Vol 2 (1) ◽

Author(s):

Muhammad Yafie Nuha

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Root Mean Square Error ◽

Mean Square Error ◽

P Value ◽

Mean Square ◽

Chi Square ◽

Significance Level ◽

Confirmatory Factor ◽

Fit Index

AbstractThis research aims to get a proof of the validity career adapt-ability scale in the field of electrical construction. The samples in this research are electrical engineering education students, amounting to 146 students. The data analysis technique used in this research is second order confirmatory factor analysis (CFA). The compatibility of theoretical models with empirical data is determined with the coefficients of Chi-Square, p-value, CFI (Comparative Fit Index), and RMSEA (Root Mean Square Error of Approximation). The validity of each item in the career adapt-ability scale is determined with the value of factor loading, t value, and the significance level. Item is considered valid if the factor load is more than 0.3, the t-value is greater than 1.96, and the significance level is less than 5%. The validity of each factor of career adapt-ability is determined with CR (Construct Reliability) and average variance extracted (AVE). Based on the results of the analysis, it is found that the career adapt-ability instrument in the field of electricity consists of 20 items representing four factors, namely concern, control, curiosity, and confidence are categorized valid. Keywords: Construct Validity, Confirmatory Factor Analysis, and Career Adaptability. AbstrakPenelitian ini bertujuan untuk memperoleh bukti validitas instrumen pengukur konstrak adaptabilitas karier bidang kelistrikan. Sampel dalam penelitian adalah mahasiswa pendidikan teknik elektro yang berjumlah 146 mahasiswa. Teknik analisis data yang digunakan dalam penelitian ini adalah analisis faktor konfirmatori orde kedua. Kesusuaian model teoritis dengan data empiris ditentukan dengan melihat koefisien Chi-Square, p-value, CFI (Comparatie Fit Index), dan RMSEA (Root Mean Square Error of Approxiamation). Validititas tiap item dalam konstrak adaptabilitas karier ditentukan dengan melihat nilai muatan faktor, nilai t, dan taraf signifikasinsi. Item dianggap valid jika muatan faktor lebih dari 0,3, nilai-t lebih besar daripada 1,96, dan taraf signifikansi kurang dari 5%. Validitas tiap faktor dari adaptabilitas karier ditentukan dengan melihat nilai CR (Construct Reliability) dan rerata varian terekstrak. Berdasarkan hasil analisis diperoleh bahwa instrumen adaptabilitas karier bidang kelistrikan terdiri atas 20 butir yang mewakili empat faktor, yaitu perhatian, kontrol, kengintahuan, dan kepercayaan dapat dinyatakan valid. Kata Kunci: Validitas Konstrak, Analisis Faktor Konfirmatori, dan Adaptabilitas Karier.

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Validation of the Personality Measurement Tools for College Students: Focusing on Nursing Students

The Journal of Korean Academic Society of Nursing Education ◽

10.5977/jkasne.2019.25.3.321 ◽

2019 ◽

Vol 25 (3) ◽

pp. 321-330

Author(s):

Myoung Lyun Heo ◽

Yang min Jang

Keyword(s):

College Students ◽

Factor Analysis ◽

Nursing Students ◽

Confirmatory Factor Analysis ◽

Root Mean Square ◽

Exploratory Factor Analysis ◽

College Adjustment ◽

Mean Square ◽

Personality Measurement ◽

Confirmatory Factor

Purpose: The purpose of this study was to analyze the validity and reliability of the personality measurement tool for nursing college students. Methods: Questionnaires were issued to 300 nursing students, with 275 eventually collected. The items were confirmed by validity experts. Construct validity was tested using exploratory factor analysis and confirmatory factor analysis. Reliability analysis was tested using Cronbach's ${alpha}$. Criterion validity was tested by analyzing correlation with the college adjustment scale. Results: Eight factors were confirmed by exploratory factor analysis. Confirmatory factor analysis was used to confirm the model fit (Root-mean-square residual .03; Root-mean-square error of approximation .06; Comparative fit index .92); and convergent validity and discriminant validity were confirmed. In addition, the criterion validity was confirmed through correlation (r=.64, p<.001) with the college adjustment scale. The reliability of this tool was Cronbach's ${alpha}$ .94. Conclusion: This tool can be used to measure personality in nursing education and can be used to develop and evaluate personality programs.

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Confirmatory Factor Analysis of Center for Epidemiological Studies Depression 10-item Scale on Chinese International Students in Korea

The Open Psychology Journal ◽

10.2174/1874350102114010185 ◽

2021 ◽

Vol 14 (1) ◽

pp. 185-192

Author(s):

Yang Eun Kim ◽

Boram Lee

Keyword(s):

Factor Analysis ◽

International Students ◽

Confirmatory Factor Analysis ◽

Psychometric Properties ◽

Factor Structure ◽

Internal Consistency ◽

Epidemiological Studies ◽

Chinese International Students ◽

Confirmatory Factor ◽

Test Retest Reliability

Introduction: Depression has become increasingly prevalent in Chinese international students in South Korea. For this population, therefore, accurate assessment of mood disorders, particularly depression, is critically important. The 10-item Center for Epidemiological Studies Depression Scale (CES-D 10) is commonly used to measure depression in both clinical and non-clinical populations. Thus, this study examined the CES-D 10’s factor structure and psychometric properties in Chinese international students. Methods: Study participants were 250 Chinese international students aged 18–23, attending a four-year university in Korea; they completed the Chinese version of the CES-D 10. Based on relevant theories and empirical research, confirmatory factor analysis was employed to examine the adequacy of three competing models’ factor structure. Internal consistency reliability was assessed using Cronbach’s alpha, and test-retest reliability using the Pearson correlation coefficient. Results: Confirmatory factor analysis suggested that the two-factor model comprised of depressive affect/somatic retardation and positive affect had the best fit. The CES-D 10 showed satisfactory internal consistency and test-retest reliability in Chinese international students. Conclusion: The CES-D 10 demonstrated strong psychometric properties in this Chinese international student sample, and results suggest that the CES-D scale is a useful screening tool for depressive symptoms. Therefore, the CES-D 10 could be used as a depression screen for international students at the population level and in health clinics.

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Validation of the Mindful Self-Care Scale (MSCS) and development of the Brief-MSCS among hospice and healthcare professionals: a confirmatory factor analysis approach to validation

Palliative & Supportive Care ◽

10.1017/s1478951519000269 ◽

2019 ◽

Vol 17 (6) ◽

pp. 628-636

Author(s):

Jason T. Hotchkiss ◽

Catherine P. Cook-Cottone

Keyword(s):

Factor Analysis ◽

Confirmatory Factor Analysis ◽

Root Mean Square Error ◽

Mean Square Error ◽

Healthcare Professionals ◽

Self Care ◽

Mean Square ◽

Chi Square ◽

Confirmatory Factor ◽

Fit Index

AbstractObjectiveIn the emotionally intense field of healthcare, the ability to peacefully inhabit one's body, maintain good boundaries, and be fully present during care is essential. This study aimed to validate the recently developed Mindful Self-Care Scale (MSCS) among hospice and healthcare professionals and develop a brief version of the 33-item MSCS.MethodA sample of hospice and healthcare professionals from all 50 states (n = 858) was used. A confirmatory factor analysis was run using a rigorous methodology for validation and item reduction to develop a brief version of the 33-item MSCS. The brief MSCS (B-MSCS) was developed by identifying items for exclusion through examination of conceptual overlap, descriptive statistics by detecting sources of improvement model fit using confirmatory factor analysis. Model modifications were done sequentially and with regard to theoretical considerations.ResultThe existing model, 33-item MSCS with six subscales, had good fit to the data with all indicators in acceptable ranges (chi-square/df = 3.08, df (480), p < 0.01, root mean square error of approximation = 0.059, comparative fit index = 0.915, Tucker and Lewis's index of fit = 0.907). Nine items were excluded on the basis of very low loadings and conceptual and empirical overlap with other items.Significance of resultsThe final 24-item, B-MSCS model was consistent with the original conceptual model and had a closer fit to the data (chi-square/df = 1.85, df (215), p < 0.01, root mean square error of approximation = 0.041, comparative fit index = 0.961, Tucker and Lewis's index of fit = 0.955). In addition, the reliability, construct, and concurrent validity of the MSCS and B-MSCS were in the acceptable and good ranges, respectively. Mean and standard deviation of the MSCS and B-MSCS scores were similar; B-MSCS mean scores well approximated the MSCS scores. Informal mindful self-care, in the process of everyday life, was practiced more regularly and associated with increased wellness and reduced burnout risk than formal mind-body practices.

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